Qingbo Hao

Orcid: 0000-0001-9490-4948

According to our database1, Qingbo Hao authored at least 15 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
User similarity-based graph convolutional neural network for shilling attack detection.
Appl. Intell., April, 2025

2024
Exploring implicit influence for social recommendation based on GNN.
Soft Comput., October, 2024

MLRN: A multi-view local reconstruction network for single image restoration.
Inf. Process. Manag., March, 2024

DLAN:Modeling user long- and short-term preferences based on double-layer attention network for next point-of-interest recommendation.
J. Intell. Fuzzy Syst., February, 2024

Simplices-based higher-order enhancement graph neural network for multi-behavior recommendation.
Inf. Process. Manag., 2024

MusicNeXt: Addressing category bias in fused music using musical features and genre-sensitive adjustment layer.
Intell. Data Anal., 2024

2023
Evolving Interest with Feature Co-action Network for CTR Prediction.
Data Sci. Eng., December, 2023

IMGC-GNN: A multi-granularity coupled graph neural network recommendation method based on implicit relationships.
Appl. Intell., June, 2023

A novel personality detection method based on high-dimensional psycholinguistic features and improved distributed Gray Wolf Optimizer for feature selection.
Inf. Process. Manag., 2023

Domain-Invariant Task Optimization for Cross-domain Recommendation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Deep Multi-interaction Hidden Interest Evolution Network for Click-Through Rate Prediction.
Proceedings of the Database and Expert Systems Applications, 2023

Deep User and Item Inter-matching Network for CTR Prediction.
Proceedings of the Database Systems for Advanced Applications, 2023

Item Multi-Information Evolution Network for Click-Through Rate Prediction.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022
CFDIL: a context-aware feature deep interaction learning for app recommendation.
Soft Comput., 2022

2020
Study on classification of maize disease image based on fast k-nearest neighbor support.
Proceedings of the IEEE Intl Conf on Dependable, 2020


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